[PDF] Top 20 Determining Event Durations: Models and Error Analysis

... Annotating and learning event durations was pioneered by Pan et al. (2011), who annotated the events in TimeBank with their expected dura- tions. Gusev et al. (2011) use query patterns in an unsupervised ... See full document

... BOXMOX performs box model simulations with different chemical mechanisms using varying sets of input parameters. BOXMOX relies on KPP, a code generator that simplifies the numerical integration of systems of ODEs. The ... See full document

... automatic error analysis of MT systems based on automati- cally separating errors into classes and sorting these classes by frequency (Vilar et ...overall error trends, but when the goal of ... See full document

... greater time at increasingly a, SIMULATION MODEL IN EPIDEMIOLOGY 2 SME2 SMEI in matching the true profile confirms The inaccuracy of the inadequacy of the function xt-p as a approximatio[r] ... See full document

... the electrostatic interactions governing the physics of electrolyte solutions. The goal of this study is to define the parameters relevant for this force field, and their respective influence on the accuracy of the ... See full document

... with different context of application domains in the last decades. A non-exhaustive list of such applications includes the following: mobile devices and control systems (Leveson, 2003), operating systems (Makanju et al., ... See full document

... measurement error, such as SBP, and the time to an event of interest, such as time to non-fatal ...these models are starting to find their place in applied research [10,11], but the potential uses of ... See full document

... Several other methods have also been used to define convergence. The methods we believe to be most relevant are the jackknife and Taylor series estimates of the standard error around the point estimates of the ... See full document

... hydrological models in order to evaluate the radar performance in different hydrological applications, es- pecially in flood forecasting (Collier and Knowles, 1986; Owens, 1986; Cluckie and Owens, 1987; Cluckie et ... See full document

... hazards models for analysis of recur- rent event ...multiplicative models will typically be an empirical ...recurrent event duration data in clinical and epidemiologic stu- dies, the ... See full document

... Event durations. To our knowledge, we are the first to exploit event duration information as features for temporal relation ...typical event duration allows us to infer, for instance, that a ... See full document

... In order to produce the data we will generate, class membership, recurrent events, and censor time. Our class membership which generated the covariate vector v and the latent class membership for n subjects was set at a ... See full document

... interaction had an odds ratio of 2.01 and another an odds ratio of 1.65, and in the PBC dataset one interaction had a hazard ratio of 0.45 and two others a hazard ratio of 0.67. Another explanation is that the ... See full document

... Despite over thirty years of research on AD and numerous potential treatments that were tested in clinical trials, there have been no drugs that have been able to halt or reverse the progression of the disease (Selkoe, ... See full document

... The second portion of the VWP that is necessary is the visual display. It is eye- movements to the scenes portrayed in this portion of the paradigm that serve as the dependent variable of analysis. The visual ... See full document

... According to MBSA (Shah Alam City Council), the traffic light system at the intersection was set up based on a typical cycle which is about 120 sec (2 minutes). However, it was observed that the waiting time was between ... See full document

... propose event nugget annotation is to identify events accurately enough to meet the definitions of event types/subtypes in the Light ERE ...the event types/subtypes provided by the Light ERE Guide- ... See full document

... Abstract — In this paper a discussion about how to model biofuel plants for the risk optimization is presented. The model is detailed and remarked paying special attention on the human error and the context for ... See full document

... Inside the honey bee hive, away from the nest entrance and specialist guards, both the first worker to contact the introduced bee and the cumulative contact over 3min result in discrimination between nestmates and ... See full document

... neural models (§4) to jointly pre- dict event durations and fine-grained (real-valued) temporal relations ( § 5), yielding not only strong results on our dataset, but also competitive perfor- mance ... See full document